2018年
Development of Flat Finishing Skill Training System based on Personal Peculiarity Classification of Tool Trajectory
2018 7TH INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI 2018)
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- 開始ページ
- 730
- 終了ページ
- 734
- 記述言語
- 英語
- 掲載種別
- 研究発表ペーパー・要旨(国際会議)
- DOI
- 10.1109/IIAI-AAI.2018.00151
- 出版者・発行元
- IEEE
The paper proposes a new education software system for flat finishing skill with an iron file based on classification of personal peculiarities. The software measures learner's flat finishing motion by using a 3D stylus, and displays classified personal peculiarities effectively to correct learner's finishing motions. The system also extracts peculiarity feature pattern based on the trajectory of the iron file. A torus type Self-Organizing Map is used to classify such unknown number of classes of peculiarity patterns. To let the trainers make viewing entire students' peculiarities easily, the resulted feature maps of the torus type SOM are classified into appropriate peculiarity classes based on the cluster map values.Early developing results of the peculiarity computation classification parts with measured data of an expert and sixteen learners show effectiveness of the proposed system.
- リンク情報
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- DOI
- https://doi.org/10.1109/IIAI-AAI.2018.00151
- DBLP
- https://dblp.uni-trier.de/rec/conf/iiaiaai/TeranishiMT18
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000494425300140&DestApp=WOS_CPL
- Dblp Cross Ref
- https://dblp.uni-trier.de/conf/iiaiaai/2018
- Dblp Url
- https://dblp.uni-trier.de/db/conf/iiaiaai/iiaiaai2018.html#TeranishiMT18
- ID情報
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- DOI : 10.1109/IIAI-AAI.2018.00151
- DBLP ID : conf/iiaiaai/TeranishiMT18
- Web of Science ID : WOS:000494425300140